Preferences toward Bus Alternatives in Rural Areas of the Netherlands: A Stated Choice Experiment

被引:6
作者
Bronsvoort, Kristel [1 ]
Alonso-Gonzalez, Maria [1 ]
Van Oort, Niels [1 ]
Molin, Eric [2 ]
Hoogendoorn, Serge [1 ]
机构
[1] Delft Univ Technol, Dept Transport & Planning, Delft, Netherlands
[2] Delft Univ Technol, Dept Engn Syst & Serv, Delft, Netherlands
关键词
DEMAND-RESPONSIVE TRANSPORT; PUBLIC TRANSPORT; TRANSIT;
D O I
10.1177/03611981211029919
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Public transport in rural areas is under pressure because demand is low and dispersed. To reduce costs, flexible and on-demand services are often proposed as alternatives for conventional bus services. Conventional services are generally not suitable for rural areas, because the demand is low and dispersed. In this paper, a stated preference survey is designed to identify the preferences of rural bus users for alternative services. Other than the traditional bus, two other modes are included in this study: a demand responsive transport (DRT) service and an express bus service with bike-sharing services for last mile transport. Given the on-demand nature of these alternatives, flexibility- and reliability-related attributes are included in the stated preference survey. The results from the choice model indicate that the reliability and flexibility aspects do not have a large effect on the preference for the on-demand alternatives. Instead, cost, access and egress times, and in-vehicle time play a bigger role in individuals' preferences toward the different alternatives. A sensitivity analysis shows that changes in the operational characteristics can make the on-demand alternatives more attractive. However, many bus users still prefer the conventional bus service over the on-demand alternatives.
引用
收藏
页码:524 / 533
页数:10
相关论文
共 21 条
[1]   The Potential of Demand-Responsive Transport as a Complement to Public Transport: An Assessment Framework and an Empirical Evaluation [J].
Alonso-Gonzalez, Maria J. ;
Liu, Theo ;
Cats, Oded ;
Van Oort, Niels ;
Hoogendoorn, Serge .
TRANSPORTATION RESEARCH RECORD, 2018, 2672 (08) :879-889
[2]  
Barrilero M, 2017, 2017 5TH IEEE INTERNATIONAL CONFERENCE ON MODELS AND TECHNOLOGIES FOR INTELLIGENT TRANSPORTATION SYSTEMS (MT-ITS), P821, DOI 10.1109/MTITS.2017.8005626
[3]  
Bierlaire M, 2016, PYTHONBIOGEME SHORT
[4]  
Bronsvoort K.A., 2019, THESIS DELFT U TECHN
[5]  
Cats S.P., 2017, P INT CHOIC MOD C 20
[6]  
Centraal Bureau voor de Statistiek, 2019, REG KERNC NED
[7]   Solving a dial-a-ride problem with a hybrid evolutionary multi-objective approach: Application to demand responsive transport [J].
Chevrier, Remy ;
Liefoogheb, Arnaud ;
Jourdan, Laetitia ;
Dhaenens, Clarisse .
APPLIED SOFT COMPUTING, 2012, 12 (04) :1247-1258
[8]   Using ordered attitudinal indicators in a latent variable choice model: a study of the impact of security on rail travel behaviour [J].
Daly, Andrew ;
Hess, Stephane ;
Patruni, Bhanu ;
Potoglou, Dimitris ;
Rohr, Charlene .
TRANSPORTATION, 2012, 39 (02) :267-297
[9]   The key factors for providing successful public transport in low-density areas in The Netherlands [J].
de Jong, Wouter ;
Vogels, Janneke ;
van Wijk, Karolien ;
Cazemier, Otto .
RESEARCH IN TRANSPORTATION BUSINESS AND MANAGEMENT, 2011, 2 :65-73
[10]   Flexing service schedules: Assessing the potential for demand adaptive hybrid transit via a stated preference approach [J].
Frei, Charlotte ;
Hyland, Michael ;
Mahmassani, Hani S. .
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, 2017, 76 :71-89